---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
model-index:
- name: lc-7b-sft-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# lc-7b-sft-lora

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4782

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6469        | 1.0   | 16   | 1.6182          |
| 1.5733        | 2.0   | 32   | 1.5646          |
| 1.5088        | 3.0   | 48   | 1.5251          |
| 1.4873        | 4.0   | 64   | 1.4960          |
| 1.4409        | 5.0   | 80   | 1.4758          |
| 1.4061        | 6.0   | 96   | 1.4655          |
| 1.4014        | 7.0   | 112  | 1.4588          |
| 1.3723        | 8.0   | 128  | 1.4573          |
| 1.346         | 9.0   | 144  | 1.4604          |
| 1.306         | 10.0  | 160  | 1.4605          |
| 1.307         | 11.0  | 176  | 1.4639          |
| 1.3115        | 12.0  | 192  | 1.4663          |
| 1.3093        | 13.0  | 208  | 1.4683          |
| 1.2644        | 14.0  | 224  | 1.4705          |
| 1.2641        | 15.0  | 240  | 1.4748          |
| 1.2578        | 16.0  | 256  | 1.4754          |
| 1.2538        | 17.0  | 272  | 1.4771          |
| 1.2611        | 18.0  | 288  | 1.4779          |
| 1.2609        | 19.0  | 304  | 1.4783          |
| 1.2805        | 20.0  | 320  | 1.4782          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.0.1+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1